{"id":4417,"date":"2023-07-09T23:51:34","date_gmt":"2023-07-09T23:51:34","guid":{"rendered":"https:\/\/mysourcefunding.com\/leadership\/ai-will-change-your-work-significantly-heres-how-to-respond\/"},"modified":"2023-07-09T23:51:35","modified_gmt":"2023-07-09T23:51:35","slug":"ai-will-change-your-work-significantly-heres-how-to-respond","status":"publish","type":"post","link":"https:\/\/mysourcefunding.com\/?p=4417","title":{"rendered":"AI Will Change Your Work Significantly: Here\u2019s How To Respond"},"content":{"rendered":"
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If you\u2019re worried about AI and its affect on your work, your industry and your future, you\u2019re right to be concerned. AI will shift things fundamentally\u2014including the content of work, the work available and who\u2019s doing it. And the changes will impact work differently than technology advancements of the past\u2014with greater effects on knowledge work than ever before.<\/p>\n

But you can get over your anxiety and succeed in the new landscape. You\u2019ll need to be aware, ready and responsive to what\u2019s coming. And new data can show you where to look, which signals to watch and how to stay ahead of the coming wave affecting work.<\/p>\n

Get Ready for Growth<\/h2>\n

First, you\u2019ll want to consider joining the wave. In fact, the use of generative AI in U.S. is slated to grow to 77.8 million users in 2023, an increase from 7.8 million users in 2022. And 117 million users are expected by 2025. Most of this growth will be driven by AI\u2019s application in the workplace\u2014which can include machine learning, neural networks, natural language processing and robotics.<\/p>\n

Most of the growth will come from OpenAI\u2019s Chat GPT with predictions for an 882% increase in usage. In addition, by 2024, 25% of all internet users are expected to leverage ChatGPT. Users are most likely to be Millennials (21%) compared with 19% of Gen X and 14% of Gen Z. All of this is according to a report from Insider Intelligence.<\/p>\n

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AI is catching on globally with 63% of those in India reporting they\u2019re using it followed by 49% in Singapore, 46% in Germany, 35% in Australia, 31% in France and the U.K., 26% in the U.S. and 15% in Japan, based on a poll by UiPath.<\/p>\n

Many view AI positively. In particular, 83% of people believe using AI at work could help reduce burnout and increase job satisfaction, and 80% think it will help them do their job better. Fascinatingly, 79% of people view employers more positively when they leverage AI, based on data from UiPath.<\/p>\n

But no matter what your generation, location or views, you\u2019ll be wise to look for opportunities to learn about and apply AI in your day-to-day tasks and your career overall.<\/p>\n

Assess Your Profession and Industry<\/h2>\n

One primary way to respond to all that\u2019s coming is to anticipate the areas AI will affect work most\u2014in terms of departments, professions and industries. As organizations seek advantages from AI, they will pursue productivity gains. And based on the impacts on productivity, McKinsey Digital, predicts 75% of the value created by generative AI will be in customer operations, marketing and sales, software engineering and R&D\u2014with additional value generated in supply chain.<\/p>\n

While there will also be opportunities for productivity payoffs in departments like risk and legal; strategy and finance; IT and talent, these departments will likely see less impact compared to the others.<\/p>\n

In addition, the industries where AI will have the greatest effects will be banking, tech and life sciences. In particular, these are where the largest percentage of revenues may be generated by AI, according to the McKinsey Digital data.<\/p>\n

If you\u2019re in one of these areas or industries, stay attuned to how your role could be enhanced by AI and look for ongoing training. Or if you\u2019re an early adopter, consider seeking out these areas and industries to express your talents and differentiate yourself.<\/p>\n

Assess Your Job<\/h2>\n

With previous revolutions in technology, physical tasks were more affected than knowledge-intense work. For example, lamplighter jobs were no longer necessary with the advent of electricity and manual sewing jobs were displaced by sewing machines.<\/p>\n

But this technological innovation will differ because it will be more likely to affect cognitive tasks. In fact, the potential for impact to work which requires a Master\u2019s or PhD-level education is 57%\u2014comparable to work which requires a high school diploma (64%), according to the McKinsey Digital analysis.<\/p>\n

These are the jobs and professions most likely to be affected, according to the McKinsey Digital data (numbers indicate the percent likelihood for technical automation).<\/p>\n